A new empirical equation for the gas/particle partitioning of OPFRs in ambient atmosphere†

IF 4.3 3区 环境科学与生态学 Q1 CHEMISTRY, ANALYTICAL Environmental Science: Processes & Impacts Pub Date : 2024-12-17 DOI:10.1039/D4EM00531G
Man Li, Wenhao Hou, Lina Qiao, Hong Zhang, Mengdan Wang, Yonghui Wen and Zejiang Jia
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Abstract

Gas/particle (G/P) partitioning is a core process governing the atmospheric transport of organophosphate flame retardants (OPFRs). However, accurately predicting the G/P partition performance of OPFRs remains a challenge. In this study, four independent models were employed to estimate the characteristics of OPFR G/P partitioning within the octanol–air partition coefficient range of 4.7 (TMP) to 14.2 (TMPP). The results showed that in the maximum partition domain, the Li–Ma–Yang steady-state model fitted the best, with 85.2% of the predicted G/P partition quotient (log KP) values within an acceptable deviation range of ±1 log units for OPFRs. Accordingly, no significant deviations were observed between the predicted (0.56 ± 0.32) and monitored (0.52 ± 0.11) values of the average particle-bound fraction (φP) for the Li–Ma–Yang model in the maximum partition domain. Large deviations were observed between the monitored values and predicted log KP values by these four models in the equilibrium domain. Several factors responsible for the significant deviations observed in G/P partitioning values of OPFRs were discussed. These identified factors were used to develop a new empirical equation, which substantially improved log KP predictions for OPFRs to 75.8% in the equilibrium domain.

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环境大气中OPFRs气/粒子分配的新经验方程。
气体/颗粒(G/P)分配是控制有机磷阻燃剂(OPFR)大气迁移的核心过程。然而,准确预测 OPFR 的 G/P 分配性能仍然是一项挑战。本研究采用了四个独立模型来估算辛醇-空气分配系数范围在 4.7(TMP)至 14.2(TMPP)之间的 OPFR G/P 分配特性。结果表明,在最大分配域,Li-Ma-Yang 稳态模型的拟合效果最好,85.2% 的预测 G/P 分配商数(log KP)值在 OPFR 可接受的 ±1 对数单位偏差范围内。因此,在最大分配域中,李-马-杨模型的平均颗粒结合分数(φP)预测值(0.56 ± 0.32)和监测值(0.52 ± 0.11)之间没有发现明显偏差。在平衡域中,监测值与这四个模型预测的对数 KP 值之间存在较大偏差。讨论了导致 OPFR 的 G/P 分配值出现重大偏差的几个因素。利用这些确定的因素制定了一个新的经验方程,该方程将 OPFR 在平衡域的对数 KP 预测值大幅提高到 75.8%。
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来源期刊
Environmental Science: Processes & Impacts
Environmental Science: Processes & Impacts CHEMISTRY, ANALYTICAL-ENVIRONMENTAL SCIENCES
CiteScore
9.50
自引率
3.60%
发文量
202
审稿时长
1 months
期刊介绍: Environmental Science: Processes & Impacts publishes high quality papers in all areas of the environmental chemical sciences, including chemistry of the air, water, soil and sediment. We welcome studies on the environmental fate and effects of anthropogenic and naturally occurring contaminants, both chemical and microbiological, as well as related natural element cycling processes.
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